“Did You Miss My Comment or What?” Understanding Toxicity in Open Source Discussions

Courtney Miller, Sophie Cohen, D. Klug, Bogdan Vasilescu, Christian Kästner
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引用次数: 27

Abstract

Online toxicity is ubiquitous across the internet and its negative impact on the people and that online communities that it effects has been well documented. However, toxicity manifests differently on various platforms and toxicity in open source communities, while frequently discussed, is not well understood. We take a first stride at understanding the characteristics of open source toxicity to better inform future work on designing effective intervention and detection methods. To this end, we curate a sample of 100 toxic GitHub issue discussions combining multiple search and sampling strategies. We then qualitatively analyze the sample to gain an understanding of the characteristics of open-source toxicity. We find that the pervasive forms of toxicity in open source differ from those observed on other platforms like Reddit or Wikipedia. In our sample, some of the most prevalent forms of toxicity are entitled, demanding, and arrogant comments from project users as well as insults arising from technical disagreements. In addition, not all toxicity was written by people external to the projects; project members were also common authors of toxicity. We also discuss the implications of our findings. Among others we hope that our findings will be useful for future detection work.
“你错过我的评论了吗?”理解开源讨论中的毒性
网络毒害在互联网上无处不在,它对人们和网络社区的负面影响已经得到了很好的记录。然而,毒性在不同的平台上表现不同,而开源社区中的毒性虽然经常被讨论,但却没有得到很好的理解。我们在了解开源毒性的特征方面迈出了第一步,以便更好地为未来设计有效干预和检测方法的工作提供信息。为此,我们结合多种搜索和抽样策略,策划了100个有毒GitHub问题讨论的样本。然后,我们对样本进行定性分析,以了解开源毒性的特征。我们发现,开源中普遍存在的恶意形式不同于在Reddit或维基百科等其他平台上观察到的形式。在我们的示例中,一些最普遍的毒性形式是来自项目用户的有权利的、苛刻的和傲慢的评论,以及来自技术分歧的侮辱。此外,并非所有的毒性都是由项目外部的人编写的;项目成员也是毒性的共同作者。我们还讨论了研究结果的含义。除此之外,我们希望我们的发现将对未来的检测工作有用。
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